AI Architect

Posted Yesterday
Be an Early Applicant
San Francisco, CA, USA
In-Office
218K-401K Annually
Expert/Leader
Cloud • Software
If you’re ready to build your future — and the future of technology — then you’re in the right place.
The Role
Designs and deploys generative and applied AI solutions using LLMs, machine learning, and cloud platforms. Responsibilities include AI strategy, solution architecture, prototyping, production deployment, research evaluation, cross-functional collaboration, mentorship, and model optimization. The role focuses on applying AI to automate workflows, generate content and insights, enhance productivity, and support Salesforce’s internal teams while ensuring scalability, reliability, security, and ethical implementation.
Summary Generated by Built In

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

The Experience

Are you passionate about the cutting edge of Artificial Intelligence and eager to shape the future of intelligent solutions within Salesforce? We're growing a dynamic team dedicated to exploring, developing, and integrating generative AI and applied AI technologies across our products and operations. This is a unique opportunity to lead and contribute to innovative projects that will redefine how our internal teams leverage AI to enhance productivity, drive insights, and create new capabilities.

What You Will Be Doing

As a key member of our new Engineering Development and Delivery Applied AI team, you will be instrumental in identifying, evaluating, and implementing AI-driven solutions that address critical business challenges and unlock new opportunities within Salesforce. You will bridge the gap between advanced AI research and practical application, focusing on how generative models, large language models (LLMs), and other applied AI techniques can be leveraged to create intelligent tools, automate complex tasks, and generate novel content or insights. This role involves close collaboration with product, engineering, and various internal stakeholders to bring these visionary ideas to life.

  • Strategy & Vision: Contribute to the strategic direction for generative AI and applied AI initiatives within Salesforce, identifying high-impact areas for innovation and development.

  • Solution Design & Development: Lead the design, development, and deployment of generative AI and applied AI prototypes and production-ready solutions. This includes leveraging LLMs for code generation, content creation, intelligent search, data synthesis, and more.

  • Research & Evaluation: Stay abreast of the latest advancements in generative AI, applied AI, and machine learning research and techniques, both from within Salesforce’s own product suite as well as emerging industry tools and research papers. Evaluate new models, tools, and platforms for their potential application within Salesforce.

  • Cross-Functional Collaboration: Partner with product managers, data scientists, engineers, and business stakeholders to gather requirements, define project scopes, and ensure successful integration and adoption of AI solutions.

  • Mentorship & Knowledge Sharing: Act as a subject matter expert, providing guidance and sharing knowledge with other teams on best practices, ethical considerations, and the capabilities of generative and applied AI.

  • Performance & Optimization: Monitor and optimize the performance of deployed AI models, ensuring scalability, reliability, and continuous improvement.

You're Our Person If…

  • Technical Expertise:

  • At least 15 years of programming and architectural experience.

  • Strong proficiency in Python and relevant AI/ML frameworks.

  • Knowledge of various machine learning models, including deep learning architectures, particularly those related to natural language processing (NLP) and generative models.

  • Solid understanding of cloud platforms, specifically AWS, and MLOps principles.

  • AI/ML Concepts: Familiarity with core AI/ML concepts, including data preprocessing, feature engineering, model training, evaluation, and deployment.

  • Generative AI Focus: Practical experience working with Large Language Models (LLMs), fine-tuning, prompt engineering, and understanding their applications for text generation, summarization, code generation, and conversational AI. Capable of reading through AI research and understanding approaches for how to apply new concepts.

  • Services and Security: A strong understanding of developing and delivering services on cloud platforms like AWS, including concepts around cloud security, identity and access management, data protection, and network security.

  • Agentic Coding Platforms: Hands-on experience designing, integrating, or utilizing autonomous AI coding agents and developer platforms (such as Salesforce Agentforce) to streamline software development lifecycles, automate workflow execution, and enhance developer productivity.

  • Communication: Strong verbal and written communication skills, capable of explaining complex technical concepts to non-technical stakeholders and providing content that can be understood by both humans and models.

  • Teamwork and Leadership: Proven ability to work effectively in a collaborative, fast-paced team environment where requirements are light and ambiguity is high. Must be capable of leading through the ambiguity and into durable solutions.

  • Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.

Even Better If…

  • Experience with Salesforce platform technologies (specifically Apex, Agentforce, and Data Cloud).

  • Prior experience in a leadership or mentorship role within an engineering development team.

  • Familiarity with data governance, security, and privacy best practices in an enterprise context.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $218,400 - $365,200 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $263,200 - $401,400 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

Skills Required

  • At least 15 years of programming and architectural experience
  • Strong proficiency in Python and relevant AI/ML frameworks
  • Knowledge of machine learning models, including deep learning, natural language processing, and generative models
  • Understanding of AWS cloud platforms and MLOps principles
  • Familiarity with AI/ML concepts including data preprocessing, feature engineering, model training, evaluation, and deployment
  • Practical experience with LLMs, fine-tuning, prompt engineering, and generative AI applications
  • Understanding of cloud security, identity and access management, data protection, and network security
  • Hands-on experience with autonomous AI coding agents and developer platforms
  • Strong verbal and written communication skills
  • Ability to lead collaboratively in ambiguous, fast-paced environments
  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field
  • Experience with Salesforce platform technologies, including Apex, Agentforce, and Data Cloud
  • Leadership or mentorship experience within an engineering development team
  • Familiarity with enterprise data governance, security, and privacy best practices

Salesforce Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Salesforce and has not been reviewed or approved by Salesforce.

  • Healthcare Strength Healthcare coverage is described as comprehensive, with medical, dental, and vision options, mental‑health programs, and low‑deductible or heavily subsidized tiers. Feedback suggests offerings like Lyra counseling, care navigation, and wellness reimbursements make access broad and user‑friendly.
  • Parental & Family Support Parental and family benefits are portrayed as robust, including paid leave for primary and secondary caregivers and extensive family‑building support such as fertility, adoption, and doula benefits. Backup childcare and caregiver resources provide practical help across different life stages.
  • Leave & Time Off Breadth Time‑off programs are highlighted as generous, with flexible PTO and hybrid options alongside seven days of paid Volunteer Time Off each year. Feedback suggests this combination supports work‑life balance and community engagement.

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The Company
HQ: San Francisco, CA
72,000 Employees

What We Do

Salesforce is the #1 AI CRM, where Humans with agents drive customer success together. Through Agentforce, our groundbreaking suite of customizable agents and tools, Salesforce brings autonomous AI agents, unified data from any source, and best-in-class Customer 360 apps together on one integrated platform to help companies connect with customers in a whole new way. Salesforce is democratizing AI agents for businesses of every size and industry so every company can embrace a workforce without limits. Our low code, open, and secure platform helps companies build and customize Salesforce fast so they can safely scale AI-powered work to every customer and employee experience and transform their business. Salesforce is proud to be the market leader, but we’re even more proud to lead in philanthropy, innovation and culture. Guided by core values of trust, customer success, innovation, equality, and sustainability, Salesforce is more than a business — we’re a platform for change.

Why Work With Us

There’s no typical day in the life of a Salesforce employee. You could be transforming our next AI innovation — or transforming your community. Closing deals — or closing your laptop for a day of Volunteer Time Off. Driving change for our customers — or driving change within one of our high-performing teams.

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